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Showing 1 to 15 of 55 results Save | Export
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Sven Banisch; Hawal Shamon – Sociological Methods & Research, 2025
We combine empirical experimental research on biased argument processing with a computational theory of group deliberation to overcome the micro-macro problem of sociology and to clarify the role of biased processing in debates around energy. We integrate biased processing into the framework of argument communication theory in which agents…
Descriptors: Persuasive Discourse, Energy, Group Dynamics, Opinions
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Stütz, Simone; Berding, Florian; Reincke, Sven; Scheper, Lena – Empirical Research in Vocational Education and Training, 2022
Tasks in accounting textbooks play a vital role when it comes to learning processes. However, hardly any empirical evidence on the quality of accounting tasks exists regarding accounting-relevant characteristics. This is why a new category system containing accounting-relevant aspects was developed to analyze a total of 3,361 tasks from 14…
Descriptors: Learning Activities, Accounting, Textbooks, Artificial Intelligence
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Farbod Aprin; Pascal Peters; H. Ulrich Hoppe – Education and Information Technologies, 2024
Social media usage has become a daily habit for the younger generation. It can have positive effects on educational processes, but it also raises concerns about harmful content, such as fake news or hate speech. Fake news is often distributed with the intention to manipulate the public opinion by propagating disinformation. This includes the…
Descriptors: Foreign Countries, High School Students, Artificial Intelligence, Critical Thinking
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Schroeders, Ulrich; Schmidt, Christoph; Gnambs, Timo – Educational and Psychological Measurement, 2022
Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus…
Descriptors: Response Style (Tests), Surveys, Artificial Intelligence, Identification
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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Yenchun Wu; Marco Fabio Benaglia – International Journal of Science Education, Part B: Communication and Public Engagement, 2024
For over two decades now, the application of Citizen Science to Education has been evolving, and fundamental topics, such as the drivers of motivation to participate in Citizen Science projects, are still under discussion. Some recent developments, though, like the use of Artificial Intelligence to support data collection and validation, seem to…
Descriptors: Citizen Participation, Scientific Research, Science Education, Educational Development
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Chengming Zhang; Florian Hofmann; Lea Plößl; Michaela Gläser-Zikuda – Education and Information Technologies, 2024
Reflective practice holds critical importance, for example, in higher education and teacher education, yet promoting students' reflective skills has been a persistent challenge. The emergence of revolutionary artificial intelligence technologies, notably in machine learning and large language models, heralds potential breakthroughs in this domain.…
Descriptors: Foreign Countries, Higher Education, Reflection, Student Writing Models
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Moses Segbenya; Felix Senyametor; Simon-Peter Kafui Aheto; Edmond Kwesi Agormedah; Kwame Nkrumah; Rebecca Kaedebi-Donkor – Cogent Education, 2024
This study examined the effect of antecedents of artificial intelligence (AI) on the productivity of academics in higher education. The study was guided by the pragmatic epistemic perspective predicated on the concurrent integrated mixed-method design used with the support of a Google softcopy version of the semi-structured questionnaire (closed…
Descriptors: Influences, Artificial Intelligence, Productivity, College Faculty
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Schrumpf, Johannes – International Association for Development of the Information Society, 2022
Digital resources offer a vast assortment of educational opportunities for students in higher education. From 2018 to 2022, a digital study assistant (DSA), named SIDDATA, was developed at three German universities and consequently field-tested. One of the DSA's features is an AI-driven natural language interface for educational resource…
Descriptors: Higher Education, Artificial Intelligence, Educational Technology, Educational Resources
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Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
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Jules Buendgens-Kosten – Technology in Language Teaching & Learning, 2024
This paper approaches AI in TEFL teacher education from a perspective of digital text sovereignty (digitale Textsouveränität). Digital sovereignty (digitale Souveränität) is a concept that goes beyond media literacy and data literacy as a set of skills, to include personal competences in a more Humboldtian vision of education. Digital text…
Descriptors: Foreign Countries, Teacher Education, Language Teachers, English (Second Language)
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König, Claudia M.; Karrenbauer, Christin; Breitner, Michael H. – Education and Information Technologies, 2023
During the COVID-19 pandemic, the availability of online higher education programs and tools has grown rapidly. One example is an individual digital study assistant (IDSA) for students, which provides functionalities to train self-regulation skills, to engage with own educational goals and to offer automated, first-level support to higher…
Descriptors: Artificial Intelligence, Independent Study, Educational Technology, Student Attitudes
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Claudia M. König; Christin Karrenbauer; Michael H. Breitner – International Journal of Educational Technology in Higher Education, 2024
Increasing student numbers, heterogeneity and individual biographies lead to a growing need for personalized support. To meet these challenges, an Individual Digital Study Assistant (IDSA) provides features to help students improve their self-regulation and organizational skills to achieve individual study goals. Based on qualitative expert…
Descriptors: Foreign Countries, College Students, Individualized Instruction, Learning Management Systems
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Hamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics
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Steven Beyer; Kerstin Arndt – Open Education Studies, 2024
This article focuses on the gap in research concerning the insufficient availability of information and communication technologies for teacher professional learning (TPL) and the consequent scarcity of research on technology acceptance (TA) in TPL. These research gaps are addressed through the implementation of a chatbot designed to support…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Role
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